Senior ML Engineer (Applied AI)
Core
Design, optimize, and deploy production-grade LLM applications, custom predictive analytics, and agentic workflows for client software ecosystems.
Role type
Senior IC machine-learning engineer (applied AI/LLM)
Builds
Custom AI systems and predictive analytics for brands and startups in healthcare, logistics, and fintech.
Domain
Applied AI, Natural Language Processing, Cloud Infrastructure
Deliverable
production ML models | product features
Required skills
LLM architecture and context window mechanics, agentic system design, vector database management, Python, SQL, AWS cloud infrastructure, evaluation framework design, traditional supervised/unsupervised learning
Preferred skills
Experience with Langchain/LangGraph/LlamaIndex, experience fine-tuning models, ability to translate ambiguous business requirements into technical scopes
Technologies
Transformer models, Anthropic Claude, OpenAI, AWS Bedrock, Langchain, LangGraph, LlamaIndex, Pinecone, pgvector, Milvus, Qdrant, AWS Lambda, AWS SageMaker, AWS EC2
Responsibilities
Architect and build classical ML and generative AI solutions, design evaluation frameworks for AI quality and safety, integrate AI capabilities into client web/mobile applications, optimize prompts and chunking strategies for production, clean and process data for custom algorithms, collaborate with stakeholders to demo prototypes, conduct code reviews and maintain validation patterns
Seniority
Senior, hands-on IC
